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Field
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with advanced analytical instrumentation such as HPLC, texture analyzers, FT-IR spectrometers, zeta potential and particle size analyzers, differential scanning calorimeters, and supercritical CO2
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polariton propagation, low-energy switching concepts, few-particle modulation of condensate nonlinearities, integrated polaritonic circuit functions, and coupling of polaritonic states to on-chip detection
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theoretical and rheological investigation for ARC Centre Project S27b. You’ll explore how non-Newtonian suspension rheology governs ultrafine particle transport and gravity separation in inclined channels under
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directions within theoretical physics and astrophysics (including but not limited to theoretical astrophysics/cosmology, condensed matter theory, general relativity, particle/string theory, mathematical
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, or particle sizing software. Experience of designing, developing or refining experimental methodologies to generate reliable and reproducible data. Ability to maintain detailed and accurate laboratory records
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large astrophysical datasets (Gaia, future GaiaNIR, Roman, PLATO, the spectroscopic surveys 4MOST and WEAVE; contacts: Friedrich Anders, Josep Manel Carrasco) Analysis and modeling of solar particle
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processing parameters, including precursor composition, temperature, mixing conditions and reaction time, on material purity, particle morphology and performance. Characterising precursor, intermediate and
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focus in probability theory or a closely related area. Strong research record Preferred but not required: Research experience in KPZ, interacting particle systems, integrable probability, first or last
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quantify carbon sequestration capacity. • Investigating the influence of particle size, moisture content, curing conditions, and material composition on carbonation efficiency and long-term carbon storage
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to formulation science, such as HPLC data analysis, spectroscopy, or particle sizing software. Experience of designing, developing or refining experimental methodologies to generate reliable and reproducible data